Instructions to use WindyWord/translate-es-pis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/translate-es-pis with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="WindyWord/translate-es-pis")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/translate-es-pis", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 825442fc89dcd7794b04cb1b404fc0176159a43d21772b7861090160b5e093a2
- Size of remote file:
- 589 kB
- SHA256:
- 7308e92b96de457c4fdf2d16fb584af18d2db4e54dde8161fa643a8f9be18099
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